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The detailed evolution profile is diverse.
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The time evolution profiles are broad and different for different star formation indicators.
The evolution of the q profile is closely related to the evolution of the poloidal magnetic flux profile, whose dynamics is modeled by a nonlinear partial differential equation (PDE) referred to as the magnetic-flux diffusion equation (MDE).
The evolution in time of the current profile is related to the evolution of the poloidal flux, which is modeled in normalized cylindrical coordinates using a nonlinear partial differential equation (PDE) usually referred to as the magnetic diffusion equation.
The evolution of the toroidal current density profile is closely related to the evolution of the poloidal magnetic flux profile, whose dynamics is modeled by a nonlinear partial differential equation (PDE) referred to as the magnetic-flux diffusion equation (MDE).
Heat evolution profile has been studied using TAM Air calorimeter.
The results showed the evolution of temperature profile was not in good agreement with the prediction which revealed that there was no temperature gradient within the drying samples.
The evolution of the profile was then extended over a period of 4 8 h spin time.
In particular, in the best simulations obtained by using the empirical bed-load power law, the time evolution of bed profiles is in good agreement with the measured data of aggradation and degradation tests, having small average relative errors.
Examining more closely the results obtained dog per dog, different evolution profiles can be identified, allowing a quantitative description of the well-described heterogeneity of the disease [ 1, 7].
The evolution of the poloidal profiles is decoupled from the evolution of the radial ones, thanks to the fact that the corresponding time scales belong to different orders in δpi: an algorithm is proposed to treat the 2D problem, alternating the solution of 1D problems.
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